Fault Diagnosis for Marine Engine System Based on Complex Network Cluster Method

Abstract:

Fault diagnosis can be achieved by the cluster analysis process. We give a complete similarity measurement method and a cluster criterion function defined by modularity increment in complex network community detection. An agglomerative cluster method is proposed and the diagnosis rules are extracted to fault diagnosis for the marine engine system. Using the samples collected from self-manufactured marine engine room simulator, fault diagnosis simulation experiment is carried out to verify the algorithm performance. The results show that the method is accurate and less time-consuming, and is able to recognize the fault pattern which does not exist in the fault history data.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 801-805
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.801
• Online since: January 2013
• Authors: Ai Ping Zhang, Guang Ren, Bao Zhu Jia
• Keywords: Cluster, Complex Network, Fault Diagnosis, Marine Engine System

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